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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Reporting standards for the use of large language model-linked chatbots for health advice
Bright Huo, Giovanni Cacciamani, Gary S. Collins, et al.
Nature Medicine (2023) Vol. 29, Iss. 12, pp. 2988-2988
Closed Access | Times Cited: 25

Showing 25 citing articles:

Accuracy, readability, and understandability of large language models for prostate cancer information to the public
Jacob S Hershenhouse, Daniel Mokhtar, Michael Eppler, et al.
Prostate Cancer and Prostatic Diseases (2024)
Open Access | Times Cited: 18
The TRIPOD-LLM reporting guideline for studies using large language models
Jack Gallifant, Majid Afshar, Saleem Ameen, et al.
Nature Medicine (2025)
Closed Access | Times Cited: 5
The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models Use
Jack Gallifant, Majid Afshar, Saleem Ameen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 8
Comparative analysis of large language models in medical counseling: A focus on Helicobacter pylori infection
Qingzhou Kong, Kunping Ju, Meng Wan, et al.
Helicobacter (2024) Vol. 29, Iss. 1
Closed Access | Times Cited: 6
The performance of artificial intelligence large language model-linked chatbots in surgical decision-making for gastroesophageal reflux disease
Bright Huo, Elisa Calabrese, Patricia Sylla, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 5, pp. 2320-2330
Closed Access | Times Cited: 6
From text to treatment: the crucial role of validation for generative large language models in health care
Anne de Hond, Tuur Leeuwenberg, Richard Bartels, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 7, pp. e441-e443
Open Access | Times Cited: 5
Large Language Models for Chatbot Health Advice Studies
Bright Huo, A. P. Boyle, Nana Marfo, et al.
JAMA Network Open (2025) Vol. 8, Iss. 2, pp. e2457879-e2457879
Open Access
Clarifying responsibility in AI-assisted healthcare: a closer look at ChatGPT's role
Yuanchun Huang, Hongjin Wang, Xiuli Ma
Annals of the Rheumatic Diseases (2025)
Closed Access
Comment on: Assessing ChatGPT’s ability to answer questions pertaining to erectile dysfunction
Jacob S Hershenhouse, Giovanni Cacciamani
International Journal of Impotence Research (2024) Vol. 36, Iss. 7, pp. 796-797
Open Access | Times Cited: 4
Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study
Aleksandar Ćirković, Toam Katz
JMIR Formative Research (2023) Vol. 7, pp. e51798-e51798
Open Access | Times Cited: 8
Comparison and Accuracy of Prospective Assessments of Four Large Language Model Chatbot Responses to Patient Questions about Emergency Care (Preprint)
J. Yau, Soheil Saadat, Edmund Hsu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e60291-e60291
Open Access | Times Cited: 2
Effectiveness of the Medical Chatbot PROSCA to Inform Patients About Prostate Cancer: Results of a Randomized Controlled Trial
Kilian Baumgärtner, Michael Byczkowski, T Schmid, et al.
European Urology Open Science (2024) Vol. 69, pp. 80-88
Closed Access | Times Cited: 2
A Scoping Review of Large Language Models: Architecture and Applications
Hicham Moujahid, Karima Boutahar, Oussama El Gannour, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
Myeloma evades T cell-engaging therapies
Bruno Paiva, Jesús F. San Miguel
Nature Cancer (2023) Vol. 4, Iss. 11, pp. 1534-1535
Closed Access | Times Cited: 2
Re: David Musheyev, Alexander Pan, Stacy Loeb, Abdo E. Kabarriti. How Well Do Artificial Intelligence Chatbots Respond to the Top Search Queries About Urological Malignancies? Eur Urol 2023;85:13–6
Qifei Deng, Yuan-Yuan Bao, Yuanyuan Yang, et al.
European Urology (2024) Vol. 86, Iss. 2, pp. e42-e43
Closed Access
Reply to Rui-Cheng Wu, Deng-Xiong Li, and De-Chao Feng’s Letter to the Editor re: Michael Eppler, Conner Ganjavi, Lorenzo Storino Ramacciotti, et al. Awareness and Use of ChatGPT and Large Language Models: A Prospective Cross-sectional Global Survey in Urology. Eur Urol. 2024;85:146–53.
Michael Eppler, Conner Ganjavi, André Luís de Castro Abreu, et al.
European Urology (2024) Vol. 85, Iss. 3, pp. e85-e86
Closed Access
A commentary on can ChatGPT assist urologists manage overactive bladder?
Changkun Mao, Tao Zhang
International Journal of Surgery (2024)
Open Access
What Comes Next for Large Language Models in Medicine?
Gregory Laynor
Journal of Electronic Resources in Medical Libraries (2024) Vol. 21, Iss. 1, pp. 30-33
Closed Access
Chatbots are Not Yet Safe for Emergency Care Patient Use: Deficiencies of AI Responses to Clinical Questions (Preprint)
J. Yau, Soheil Saadat, Edmund Hsu, et al.
(2024)
Open Access
Artificial Intelligence Modeling and Priapism
Edoardo Pozzi, David A. Velasquez, Alexandra Aponte Varnum, et al.
Current Urology Reports (2024) Vol. 25, Iss. 10, pp. 261-265
Closed Access
Amplifying Chinese physicians’ emphasis on patients’ psychological states beyond urologic diagnoses with ChatGPT—A multi-center cross-sectional study
Peng Lei, Rui Liang, Anguo Zhao, et al.
International Journal of Surgery (2024) Vol. 110, Iss. 10, pp. 6501-6508
Open Access
Response to “Harnessing artificial intelligence in bariatric surgery: Correspondence”
Yung Lee, Thomas H. Shin, Léa Tessier, et al.
Surgery for Obesity and Related Diseases (2024) Vol. 20, Iss. 10, pp. 985-986
Closed Access
ChatGPT promotes healthcare: current applications and potential challenges – correspondence
Junting Li, Yuan-yuan Bao, Yuanyuan Yang, et al.
International Journal of Surgery (2024)
Open Access
Papers on artificial intelligence in healthcare

(2024), pp. 249-267
Closed Access
Performance of Popular Large Language Models in Glaucoma Patient Education: a randomized controlled study
Yang Cao, Wei Lü, Runhan Shi, et al.
Advances in Ophthalmology Practice and Research (2024)
Open Access
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